{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 用哑铃图进行对比分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 初始设置\n",
    "\n",
    "首先，导入所需的库，并设置中文字体等。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入所需的库\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 正常显示中文标签\n",
    "mpl.rcParams['font.sans-serif'] = ['SimHei']\n",
    "\n",
    "# 自动适应布局\n",
    "mpl.rcParams.update({'figure.autolayout': True})\n",
    "\n",
    "# 正常显示负号\n",
    "mpl.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 定义颜色，主色：蓝色，辅助色：灰色，互补色：橙色\n",
    "c = {'蓝色':'#00589F', '深蓝色':'#003867', '浅蓝色':'#5D9BCF',\n",
    "     '灰色':'#999999', '深灰色':'#666666', '浅灰色':'#CCCCCC',\n",
    "     '橙色':'#F68F00', '深橙色':'#A05D00', '浅橙色':'#FBC171'}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. 定义数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据源路径\n",
    "filepath='./data/问卷调查结果2.xlsx'\n",
    "\n",
    "# 读取 Excel文件\n",
    "df = pd.read_excel(filepath)\n",
    "\n",
    "# 定义画图用的数据\n",
    "category_names = df.index\n",
    "labels = df.columns\n",
    "data = df.values\n",
    "\n",
    "df['变化'] = df.iloc[:, 2] - df.iloc[:, 1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. 开始画图\n",
    "\n",
    "用「**面向对象**」的方法画图。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用「面向对象」的方法画图，定义图片的大小\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "\n",
    "# 设置背景颜色\n",
    "fig.set_facecolor('w')\n",
    "ax.set_facecolor('w')\n",
    "\n",
    "# 设置标题\n",
    "ax.set_title('\\n用户满意度随时间的变化\\n\\n', loc='left', size=26, color=c['深灰色'])\n",
    "\n",
    "# 定义范围\n",
    "rng = range(1, len(df.index)+1)\n",
    "rng_pos = list(map(lambda x:x+1, df[df['变化']>=0].index))\n",
    "rng_neg = list(map(lambda x:x+1, df[df['变化']<0].index))\n",
    "\n",
    "# 绘制哑铃图中间的线条\n",
    "ax.hlines(y=rng_pos, xmin=df[df['变化']>=0].iloc[:, 1], xmax=df[df['变化']>=0].iloc[:, 2], color=c['浅蓝色'], zorder=1, lw=5)\n",
    "ax.hlines(y=rng_neg, xmin=df[df['变化']< 0].iloc[:, 1], xmax=df[df['变化']< 0].iloc[:, 2], color=c['浅橙色'], zorder=1, lw=5)\n",
    "\n",
    "# 绘制哑铃图两头的圆点\n",
    "ax.scatter(df.iloc[:, 1], rng, color=c['蓝色'], label=df.columns[1], s=200, zorder=2)\n",
    "ax.scatter(df.iloc[:, 2], rng, color=c['橙色'], label=df.columns[2], s=200, zorder=2)\n",
    "\n",
    "# 显示数据标签\n",
    "for i, (txt1, txt2) in enumerate(zip(df.iloc[:, 1], df.iloc[:, 2])):\n",
    "    ax.annotate(df.columns[1] + ' ' + '{:.0%}'.format(float(txt1)), (df.iloc[:, 1][i], df.index[i]+0.8), color=c['蓝色'], ha='center', va='center', fontsize=12)\n",
    "    ax.annotate(df.columns[2] + ' ' + '{:.0%}'.format(float(txt2)), (df.iloc[:, 2][i], df.index[i]+1.2), color=c['橙色'], ha='center', va='center', fontsize=12)\n",
    "\n",
    "# 设置 Y 轴标签\n",
    "plt.yticks(rng, df.iloc[:, 0], ha='left', color=c['深灰色'], size=16)\n",
    "\n",
    "# 隐藏边框\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "\n",
    "# 设置 X 轴的取值范围\n",
    "ax.set_xlim(0.65, 1.01)\n",
    "\n",
    "# 隐藏 X 轴\n",
    "ax.xaxis.set_visible(False)\n",
    "\n",
    "# 倒转 Y 轴，让第一个功能排在最上面\n",
    "ax.invert_yaxis()\n",
    "\n",
    "# 隐藏 Y 轴的刻度线\n",
    "ax.tick_params(axis='y', which='major', length=0)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  }
 ],
 "metadata": {
  "file_extension": ".py",
  "kernelspec": {
   "display_name": "Python 3.7.0 64-bit",
   "language": "python",
   "name": "python37064bit2965220bd7d04cdebdae4cbe7c63b822"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  },
  "mimetype": "text/x-python",
  "name": "python",
  "npconvert_exporter": "python",
  "pygments_lexer": "ipython3",
  "version": 3
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
